Source: Beijing Law Review. Unidade: EACH
Assunto: RACISMO
ABNT
COLAÇO JÚNIOR, Methanias et al. Evaluating open-source facial recognition software in uublic security: effectiveness and observations on ethnicity. Beijing Law Review, v. 14, p. 1000-1028, 2023Tradução . . Disponível em: http://dx.doi.org/10.4236/blr.2023.142054. Acesso em: 18 ago. 2024.APA
Colaço Júnior, M., Costa, L. B. B. de S., Recchi, E. C. S., Bliacheriene, A. C., Marques, F. de L. dos S. N., & Araújo, L. V. de. (2023). Evaluating open-source facial recognition software in uublic security: effectiveness and observations on ethnicity. Beijing Law Review, 14, 1000-1028. doi:10.4236/blr.2023.142054NLM
Colaço Júnior M, Costa LBB de S, Recchi ECS, Bliacheriene AC, Marques F de L dos SN, Araújo LV de. Evaluating open-source facial recognition software in uublic security: effectiveness and observations on ethnicity [Internet]. Beijing Law Review. 2023 ; 14 1000-1028.[citado 2024 ago. 18 ] Available from: http://dx.doi.org/10.4236/blr.2023.142054Vancouver
Colaço Júnior M, Costa LBB de S, Recchi ECS, Bliacheriene AC, Marques F de L dos SN, Araújo LV de. Evaluating open-source facial recognition software in uublic security: effectiveness and observations on ethnicity [Internet]. Beijing Law Review. 2023 ; 14 1000-1028.[citado 2024 ago. 18 ] Available from: http://dx.doi.org/10.4236/blr.2023.142054